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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Key ResponsibilitiesBuild AI growth workflows using AirOps that we can use both internally and to productize for customers in different verticalsEvolve our services delivery playbook and resourcing, moving between execution and strategyUse AirOps platform to improve our internal and customer facing processes and prove out new use casesPartner with our Growth, Marketing, Sales, and Product teams to build new templates and workflows aligned to product launches and customer expansion opportunitiesWork cross functionally with engineering, design, CX, growth, and content team members to bring features to market quickly & iterate based on feedbackMonitor key metrics closely; analyze trends/patterns & recommend solutions to improve business outcomes; report findings/recommendations regularly to Exec teamPartner with design team on UX research initiatives aimed at improving customer engagement & conversions throughout the customer journeyTest the product and provide feedback to improve the customer experience and usabilityExperience2 to 6 years experience in Growth, BizOps, Product, Technical Account Mgmt, Analytics, Solution Engineering, or similar role at a high-growth startup; we 💚 former (or future aspiring) foundersComfortable moving fast in a startup where roles and responsibilities are fluidTrack record of running complex, multi-threaded projects in a hybrid environmentExperience with LLMs and AI techniques, including prompt engineering and retrievalExperience automating processes with workflow automation tools like ZapierStrong analytical skills with experience using data to inform decision makingExcellent project management skills, including proficiency in project management tools like Linear, Airtable, and AsanaStrong interest in the intersection between AI and growth, and the emergent capabilities and applications of LLMsFamiliarity with Python and JavaScript preferredSuperb written and verbal communication skills.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleWe're looking for a Lead Product Designer who's excited about shaping the future of AI Search. In this role, you'll build products that help brands succeed as AI agents become the main way people discover them. You'll own large portions of our platform experience - from search visibility tools to last-mile editing experiences - that are fundamentally changing how marketing teams drive revenue in the AI era.You thrive on moving fast while tackling complex information architecture challenges. You'll prototype rapidly using tools like Cursor and Figma Make, working directly with content and marketing teams to build intuitive and delightful experiences.Key ResponsibilitiesOwn end-to-end product design for core platform features, from initial concept through launch and iteration based on user feedbackPartner with product and engineering leads to translate AI search visibility challenges into elegant design solutions that content teams actually want to useDesign intuitive workflows for complex tasks like content gap analysis, AI agent optimization, and multi-channel content publishingCreate information hierarchies and data visualizations that make sense of large datasets without overwhelming usersBuild and maintain our design system while establishing patterns that scale across different user personas and use casesConduct user research with content teams, SEO professionals, and marketing leaders to understand their workflows and pain pointsPrototype rapidly to test assumptions and validate design decisions with real users before engineering investmentCollaborate with customer success to understand how teams actually use our platform and where they get stuckHelp define product strategy by identifying opportunities where better design can directly impact customer outcomesMentor junior designers and contribute to building a design culture focused on measurable business impactQualifications6+ years of product design experience with at least 3 years working on B2B SaaS platformsPortfolio demonstrating your ability to simplify complex workflows and data-heavy interfacesExperience designing for technical audiences while maintaining accessibility for non-technical usersStrong understanding of content management systems, SEO tools, or marketing technology platformsFluency with modern prototyping tools (e.g. Cursor, Bolt, Claude Code) and comfort with design/collaboration environments like Figma and GitTrack record of shipping products that directly impact business metrics and user adoptionAbility to work autonomously while actively seeking feedback and collaborationExcellent written and verbal communication skills with the ability to articulate design decisions to stakeholdersComfort with ambiguity and the ability to define structure where none existsGenuine interest in how AI is changing search, content discovery, and digital marketingOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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YOUR MISSION: We are on a mission to transform how people interact with companies by making every conversation seamless, personalized, and human-like. Our AI Agent Management Platform empowers enterprises to create and manage AI voice and chat agents at scale, turning interactions into lasting relationships. As our Lead Product Designer - Consumer Experience, you will drive the realisation of the design vision for consumer-facing, multimodal experiences across voice, chat, and beyond. You will guide your cross-functional product team to translate this vision into intuitive, trustworthy, and engaging interfaces that make AI agents feel effortless to use. This is an opportunity to lead design at the heart of how people experience AI, shaping consumer-grade interfaces that will influence the future of Agentic AI. IN THIS ROLE YOU WILL: Bring the design vision to life in your product team, ensuring clarity and usability across consumer-facing, multimodal experiences. Partner closely with product managers, engineers, and AI specialists to align on priorities, user needs, technical feasibility, and business impact. Balance simplicity and delight, ensuring interfaces feel natural and human-like across voice, chat, and graphical touchpoints. Lead UX strategy for your product team with a focus on multimodal consumer interactions, ensuring research insights shape both near-term design choices and the long-term vision. Prototype and test interaction models that make AI agents intuitive and trustworthy for everyday users. Take end-to-end ownership of design in your product team, shaping direction and delivering high-quality, hands-on work.   WHAT YOU BRING TO THE TABLE: 8+ years of experience in product design with a proven track record in consumer-facing products, including two years in a lead capacity. Strong expertise in designing multimodal experiences, ideally across voice, chat, and mobile. Ability to translate a design vision into coherent, high-quality execution within a cross-functional team. Strong interaction and visual design skills, with a portfolio that demonstrates elegant, user-centered solutions in consumer contexts. Experience collaborating with product managers and engineers to drive outcomes and influence priorities. A research-driven mindset, grounded in user research, usability testing, and data-informed decision making. Excellent communication and storytelling skills, with the ability to align and inspire cross-functional teams. NICE TO HAVE: Experience designing consumer-facing products that integrate AI or conversational interfaces. Background in designing multimodal experiences that combine voice, chat, and graphical interfaces. Familiarity with design systems in a scaling organization. Knowledge of accessibility best practices and inclusive design principles for multimodal products. Interest in emerging interaction models such as ambient computing, AR/VR, or wearables. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks. Your recruiting process at Parloa: Recruiter video call → Meet your manager → Portfolio Walkthrough →  360° Interviews → Design Case Study → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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<This Is a Remote in the UK> About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleAirOps is hiring a Growth Product Manager to own the product-led engine that brings content teams from first touch to early habit. You will map, measure, and improve the journey from discovery to activation to early retention, with a focus on delivering fast time-to-value and clear business outcomes in AI-driven search. This role sits at the intersection of product, data, marketing, and sales. You will define the growth strategy, build the experimentation program, and ship features that create repeatable loops across our insights, content operations, and publishing workflows.Key ResponsibilitiesOwn the acquisition, onboarding, and activation funnel for AirOps, targeting content leaders and teams across mid-market and enterprise.Build and execute a product-led growth roadmap that balances quick wins with scalable bets tied to revenue impact.Design and run experiments across signup, packaging, onboarding flows, templates, prompts, in-product education, and lifecycle messaging.Create new growth loops such as shareable audit reports, scorecards, and template galleries that attract qualified teams and encourage word of mouth.Work closely with Growth and Marketing on self-serve acquisition programs, content diagnostics, and AEO/SEO-friendly experiences that attract high-intent users.Collaborate with Engineering and Design to scope, deliver, and iterate quickly, maintaining a high bar for usability and reliability.Align with Sales and Customer Success on trial-to-paid motions, PQL definitions, routing, and in-product moments that support sales-assisted conversions.Qualifications5+ years in Product Management with 2+ years focused on growth or PLG in B2B SaaS.Track record improving activation and early retention for complex products, ideally used by content, SEO, or editorial teams.Proficiency in A/B testing and feature flagging tools such as Optimizely, Posthog, or Statsig.Strong analytics skills, including comfort with SQL and product analytics platforms like Amplitude, Posthog, or Metabase.Experience building onboarding systems, in-product guidance, and lifecycle programs that shorten time-to-value.Familiarity with content operations, SEO, and AI search dynamics, including how teams identify content gaps and measure off-site and on-site impact.Clear, concise communication and the ability to influence cross-functional partners and leadership with data and narrative.Fluency with modern prototyping tools (e.g. Cursor, Bolt, Claude Code) and comfort with design/collaboration environments like Figma and Git.Bias for action and comfort operating in a fast-moving environment where priorities evolve with new insights.Our Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for engineers to help us reach $XXM ARR in the next 9 months. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the roleDesign and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges.Act as a technical bridge between customers and Magical’s product and engineering teams, capturing real-world feedback and translating it into platform improvements.Diagnose and resolve issues across deployments, integrations, and performance optimizations, ensuring reliability in high-stakes environments like healthcare.Shape the internal playbook by building tools, documentation, and reference implementations that accelerate future customer rollouts and scale Magical’s multi-agent ecosystem.About youYou have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical backgroundYou’re deeply curious about AI prompting, multi-agent systems, and automation. Prior experience here is a plus, but a fast learner with strong fundamentals will thrive.Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.You thrive in early-stage chaos: you’re excited to define the playbook rather than follow one.Studied science or engineering in college (dropout welcome)Located in SF/Toronto or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa Rica

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About Brain Co.Brain Co. is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. We are seeking visionary backend engineers with a passion for AI to join us. You'll be converting groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.About The RoleAs an AI Platform Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art backend systems to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust and scalable architectures to optimizing performance and reliability, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design, develop, and deploy advanced backend solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern backend frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver backend solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, system architecture, product management, and interpersonal skills.Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.Learn and Lead: Stay abreast of the latest developments in backend engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.You Might Thrive In This Role If You:Have 5+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zeroAre experienced with backend technologies, microservices, and cloud platforms.Have demonstrated experience with modern backend frameworks, cloud compute and storage, RESTful APIs, and database management systems.Possess a strong foundation in software design principles, data structures, and algorithms.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Have deep experience in implementing security best practices across the platform — from system/network security, to code and deployment pipelines, monitoring, and incident response.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.Hold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTO

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role We are seeking a highly skilled Senior Backend Developer with deep expertise in distributed systems and modern backend architecture. The ideal candidate will be responsible for designing and building scalable, high-performance backend services while maintaining clean, maintainable code and collaborating closely with cross-functional teams. This role requires a strong understanding of microservices, messaging systems, data persistence layers, and system performance optimization.   Responsibilities  Architect and develop robust, scalable backend services and APIs using ASP.NET Core  Design efficient, normalized database schemas and optimize data access logic   Implement message-driven communication with high reliability and fault tolerance   Take ownership of backend code quality, documentation, and maintainability   Proactively identify performance bottlenecks and implement scalable solutions   Collaborate with DevOps for containerization and deployment pipeline improvements   Explore and integrate AI-assisted development tools to boost productivity   (Optional) Contribute to low-level integrations through FFI for performance-critical components   About you  [Minimum qualifications] Extensive experience in ASP.NET Core backend development   Advanced proficiency in C# programming and object-oriented principles   Proven experience in distributed systems and microservice architectures   Strong expertise in PostgreSQL, MongoDB, and familiarity with both SQL and NoSQL database design principles   Proficiency in code-first development and hands-on experience with Entity Framework Core or equivalent ORMs   Advanced knowledge of **RabbitMQ** or similar **message broker systems** (e.g., Kafka, NATS)   In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming   Practical experience with Docker and container-based deployment workflows   Demonstrated ability to write clean, well-documented code and solve complex problems analytically   Strong abstract thinking and decision-making capabilities   Solid experience in performance tuning and designing scalable backend systems  Familiarity with and ability to leverage AI tools in development workflows   (Optional) Experience working with FFI (Foreign Function Interface) and integrating native code or libraries  [Preferred qualifications] Solution-oriented mindset with a focus on system sustainability and maintainability   Ability to work independently and make high-level architectural decisions   Willingness to explore and integrate emerging technologies into backend systems   Strong collaboration and communication skills with technical and non-technical stakeholders   #LI-AK1

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleWe're looking for a Product Engineer to build product experiences that people love. You'll collaborate across design, product, and engineering to rapidly prototype and ship magical experiences. You'll work with people who are not only technically excellent but who care deeply about delivering something outstanding - and who move with urgency to get it in customers' hands.ResponsibilitiesDesign, prototype & launch AI-powered products that solve real user problems - from early concepts to scaled featuresWork directly with customers to understand their needs, validate ideas quickly, and iterate based on real feedbackCollaborate with product, design, and data teams to take features from idea to production at startup speedNavigate ambiguity to define what to build when the path forward isn't clearStay on top of research and identify opportunities to ship magic to usersKeep systems fast and reliable under real-world usage Required Qualifications3+ years building products that people love, with demonstrated experience taking ideas from zero to oneTrack record of shipping quickly while maintaining quality - you know when to move fast and when to be thoroughThrive in ambiguous, fast-changing environments where requirements shift and customer feedback drives decisionsStrong sense of product taste paired with deep customer empathyOutstanding communication skillsPreferred QualificationsExcited about all things AIExperience working with PythonStrong ML/LLM knowledgeExperience with evalsHistory of direct customer engagement and interactionsOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe, and the U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the Role The Business Analysis Manager (Partnership) will lead and elevate Appier’s BA function from a tactical, campaign-support unit into a strategic partner for both commercial and product teams. You will act as a trusted advisor to Campaign Managers, guiding them on inventory utilization. You will also be responsible for building inventory insights that empower BD, Product, and CM teams to make better decisions, and lead BA Team to proactively anticipate demand momentum and collaborate with AdCloud Product (PM) and AI teams, positioning BA as a valued partner in shaping Appier’s future product roadmap.   Responsibilities Demand Operation & Forecasting Lead and mentor the BA team to establish strategic frameworks for evaluating campaign and inventory health, ensuring BA provides early-warning signals and strategic insights for leadership. Design and institutionalize mechanisms that give full visibility into current and future campaign demand, enabling long-term supply planning and resource allocation. Proactively translate demand momentum (regions, ad formats, specific publishers) into strategic supply forecasts that shape commercial and product priorities. Cross-Functional Product Engagement Engage with Appier AdCloud Product Managers and AI scientists to understand roadmap priorities and problem statements. Provide inventory insights, campaign patterns, and data-driven signals to influence product design and AI model development. Present forward-looking recommendations to leadership, influencing both commercial strategy and product roadmap. Inventory Partner Engagement Leverage SSP partner data to extract market benchmarks (e.g., eCPM, CTR, publisher performance) and generate insights that guide BD negotiations and product innovation.. Shape traffic allocation strategies in partnership with SSPs to optimize both partner yield and Appier performance. Empower Partnership BD to engage with inventory partners with AdTech and campaign operational findings Provide thought leadership on campaign and inventory dynamics to influence long-term product direction. Team Leadership Build a culture of consultative support, ensuring BA provides Campaign Management Team with the right inventory insights at the right timing. Develop BA Team as the source of truth on inventory dynamics, supply quality, and campaign-to-supply fit. Foster knowledge-sharing and tool development (dashboards, monitoring systems) to scale BA impact across teams.   About You Essential 6+ years of experience in data/business analysis, supply management, or digital advertising; 2+ years in team leadership. Strong analytical/statistical background; skilled at turning data into clear, actionable insights. Experience in programmatic advertising, RTB, or campaign optimization support. Excellent communication and presentation skills; able to influence CM, BD, and Product stakeholders. Proven ability to drive analytics tooling and dashboard initiatives, ensuring stakeholders (CM, BD, Product) gain consistent, actionable visibility into inventory dynamics. Comfortable operating at both tactical (daily monitoring) and strategic (product advisory) levels. Fluent in English; additional language skills (Mandarin, Korean, Japanese) are a plus. Nice to Have Proficiency in SQL, Tableau, or similar analytics/visualization tools. Familiarity with AI/ML-driven ad platforms or SaaS product development. Experience working with cross-functional product/engineering teams.   #L1-RL

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.About the roleAs a fullstack engineer at Siena, you’ll own projects end-to-end, developing and optimizing features within our AI-powered customer support automation platform. You’ll work closely with product, shaping our roadmap while building reliable, high-performance systems. Your code will power millions of monthly customer interactions across global brands, where reliability and speed directly impact business outcomes. If you love solving real-world problems, thrive in fast-paced environments, and take pride in shipping great products, this role is for you.What you’ll doDesign, build, and maintain scalable features across the full stack (frontend, backend, and infra).Collaborate with Product to break down scope into iterative, high-impact releases.Integrate cutting-edge LLM capabilities into real enterprise workflows.Work on an AI-first product, integrating cutting-edge LLM capabilities into enterprise customer support workflows.Solve complex engineering challenges, from optimizing API performance to refining microservices architecture.Maintain and improve our cloud infrastructure (AWS) with a DevOps mindset.Exercise high agency and ownership—taking initiative, making decisions, and driving ideas to production.Who you are3+ years building in Node.js, React, TypeScript, and Express.Strong with PostgreSQL, Redis, and cloud environments (AWS: Fargate, Lambda, EC2, SQS).Familiar with CI/CD (CodePipeline, GitHub Actions, or similar).Experience with microservices and scalable systems.Product-driven—you care about the impact of what you ship, not just the code.AI-first—you live in Cursor, Claude Code and are comfortable orchestrating coding agents.Naturally curious and proactive; you don’t wait for instructions, you create momentum.Bonus pointsNext.js, Python, or event-driven architectures.Infra-as-code (Terraform, CDK).Experience integrating with LLMs in production.Event-driven architecture experience.Why Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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About the Role We are building the next-generation AI-powered platform and web application for easy and fast creation of audio and video content. Building a revolutionary way to record, transcribe, edit, and mix audio and video on the web comes with a series of unique technical challenges and requires solving hard and complex problems. We are looking for an experienced software engineer to build a best-in-class video editing and streaming platform to power the core editing and AI functionality of the app. About the team: Descript’s editor product makes the creation of high quality video and audio content accessible to anyone. The product, which was originally geared towards podcasters, has grown into a broad suite of editing tools that support a wide range of use cases. The Editor team is responsible for building the product experiences that will continue to expand the capabilities of the editing experience and enable even more people to experience the ease and joy of producing content with Descript. What you bring: 5+ years of professional fullstack software engineering experience. Expertise in Typescript, React, and RESTful APIs Solid CS fundamentals, including data structures, algorithms, databases (Postgres, Redis) Experience building creative tools in the past or you're a frequent user of creative media tools A desire to have a high degree of ownership and accountability A deep understanding of system design principles and are effective at understanding and integrating customer needs into your decisions The ability to thrive in collaborative environments including when working with other functions (e.g. product, design, research, AI engineering) What the team is working on: As the owners of the core editing experience, the Editor team’s work covers a broad range of features. Building traditional editing functionality (e.g. timeline editing, effects & animations) Integrating in-house (e.g. studio audio) and third-party AI functionality to supercharge any user’s ability to make excellent video and audio content Supporting the data model and systems that manage the state of projects across clients Building media management features that enable organizations to build on Descript as a team This team might be a good fit for you if… You’re excited to work on creative tools where users’ workflows are varied and complex You’re energized by having a high degree of ownership and accountability You like to own technical solutions and are also passionate about making the best product experience possible for the user You thrive in collaborative environments and enjoy working with other functions (e.g. product, design, research, AI engineering)   At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking Software Engineers with senior-or-higher-equivalent experience to join our team. The base salary range for this role is $212,000-$250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.  About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Platform Engineer at Console, you'll work on the core infrastructure and systems that will enable us to power support across hundreds of medium and large scale enterprises. You'll work closely with the CTO to architect scalable enterprise-grade systems.Some examples of work you might do:Architect, plan, and execute a self-hostable SKU of Console for enterprise customers.Execute zero downtime production migrations while evolving our infrastructure to support a massive increase in customer loadOptimize build times and setup blue-green production deployment workflowsYou'll have broad license to shape the platform design and lead devops initiatives that accelerate the velocity of the whole team.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou have hands-on experience designing and building foundational infrastructure zero-to-oneYou're have a deep understanding of AWS/GCP and the tradeoffs between various cloud offerings and architecturesYou've worked on high-scale, production grade systemsYou care about developer experience and productivity; you like building systems that accelerate the whole teamRequirements5+ years of full-time experience in platform or infrastructure-facing engineering rolesExperience with AWS/GCP, IaC tools like Terraform/Pulumi, and relative comfort with our stack (Typescript/Node/React) Passionate about building quality, reliable systems, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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About Ema: Ema is at the forefront of artificial intelligence research and application, dedicated to creating cutting-edge AI solutions that empower users globally. Join our dynamic team to help shape the future of AI technology.Responsibilities:Create Enterprise AI Model Evaluation Test Sets: Develop and maintain comprehensive test sets tailored for various enterprise use cases.Evaluate AI Models: Assess different versions, personas, and prompts of Ema on multiple quality parameters. Ensure new features and updates meet established standards before launch.Generate AI Evaluation Reports: Compile detailed evaluation reports that provide insights for improving persona setups and Ema's AI models.Test UX Flows: Evaluate the efficacy and usability of auxiliary user experience flows to ensure seamless end-to-end GenAI usage for Ema’s users.Automate Testing Flows: Develop and implement scripts and browser automation tools to streamline testing processes. Enhance testing velocity and early issue detection to improve overall product quality.Requirements:Educational Background: Bachelor’s degree required. Degrees in engineering, linguistics, or psychology preferred.Communication Skills: Strong verbal and written English communication skills are essential.Professional Experience: 1-3 years of prior professional experience. Experience in content creation, QA testing, prompt engineering, or editing is preferred.Benefits:Stay at the cutting edge of GenAI research, guided and coached by top researchers in the field.Learn best practices for solving user problems with GenAI products.Collaborate across cross-functional teams to effectively achieve customer impact.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a Backend Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.What You'll DoRetrieval over peta-byte scale documentsOrganizational-level interfaces to collaborate with AIManaging dedicated GPU capacity across 5+ regions1000-step planning agents that help take companies publicGovernment-level security for the world's most sensitive mattersEvaluating LLMs across a 10k+ leaf taxonomy of tasksInternet-scale data collection from over 50+ jurisdictionsWhat You Have6+ years (post-BS/MS) of backend-focused software engineering experience on product-centric teamsTrack record of building fast-growing SaaS products by leveraging PWA technologiesTrack record of shipping highly intuitive products, strong attention to detailExperience building backend platforms that can support multiple product linesStrong programming skills and general Computer Science knowledgeGrit - experience working at early-stage startups is a plusCompensation Range$220,000 - $280,000 USD#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the RoleDecagon is seeking a Solutions Architect, a foundational technical hire who will shape the future of our AI-powered enterprise solutions. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will act as a trusted advisor to enterprise prospects and customers, guiding them through how Decagon’s AI-native platform integrates into their technology environments to unlock measurable business value. As a founding hire in this function, you will define best practices for technical solutioning, partner cross-functionally with Sales, Product, and Engineering, and set the standard for how Decagon engages with enterprises at scale. You will establish technical credibility with stakeholders across the C-suite, business functions, and engineering teams.What You’ll DoPartner with Account Executives to discover, qualify, and design solutions that deliver measurable ROI for enterprise customers.Rapidly assess a customer’s technology stack and requirements, translating them into an integration strategy for Decagon’s platform.Develop custom demonstrations on the Decagon platform tailored to customer-specific needs and value drivers.Establish scalable pre-sales processes, technical playbooks, and reusable assets to support growth.What You’ll Bring8–10+ years of experience in customer-facing technical roles such as Solutions Architect, Sales Engineer, or Pre-Sales Consultant.Ability to quickly understand complex enterprise technology stacks and connect them to Decagon’s platform capabilities.Demonstrated success engaging with large organizations and aligning solutions with strategic business outcomes.Strong technical proficiency in developing tailored demos, proofs-of-concept, and solution architectures.Even Better If You Have2+ years of direct AI/Generative AI sales engineering experience.Experience working in a high-growth startup environment.Hands-on experience integrating telephony infrastructure into enterprise systems.An engineering background (software engineering, systems engineering, or related) that enables you to dive deeper into technical conversations.BenefitsComprehensive medical, dental, and vision coverage.Flexible “take what you need” vacation policy.Daily lunches, dinners, and snacks provided in-office.

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< Remote - United States > Job Description: Stability AI’s Engineering Operations team is looking for a Senior Site Reliability Engineer (SRE) to join our growing team and play a pivotal role in improving and shaping our cloud infrastructure. The person will closely work with engineering, IT, security, and product teams to drive innovation and reliability in an evolving environment. Candidates should have the initiative to build and improve a maturing cloud landscape. Responsibilities: Developing and enforcing SRE best practices and standards across the organization. Architecting and managing scalable systems in AWS and other cloud environments, focusing on high availability and resilience. Implementing and maintaining infrastructure as code using Terraform. Setting up and refining monitoring, logging, and alerting systems. Driving incident management and root cause analysis to improve system reliability. Championing SRE principles and mentoring junior team members. Qualifications: Collaborating with development teams to enhance CI/CD pipelines. Experience scaling resource intensive systems, be it storage, networking, or compute. Knowledge and experience with Kubernetes or other container scaling solutions Background in software development or automation scripting. Knowledge and experience with Grafana, ELK stack, or similar tools. Cloud security experience. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.  

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About Scale At Scale, our Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.  We are looking for a strong Field Engineer to join our team. This role requires a strong technical background, customer problem-solving mindset, and hands-on experience with data processing and automation. About the Role As a Field Engineer, you will be an integral member of our engineering team, responsible for ensuring customers can efficiently integrate and utilize Scale’s solutions. You will work across backend systems, automation workflows, and API integrations while collaborating closely with Customer Success, Product, and Engineering teams. You Will Own and manage technical relationships with customers, acting as the primary contact for API integration, debugging, and workflow optimization while ensuring seamless adoption of Scale’s solutions. Optimize and automate data pipelines and structured data processing through scripting and workflow improvements, ensuring efficiency and scalability. Develop and maintain internal tools, documentation, and SDKs to support customers and internal teams. Drive cross-functional collaboration with Engineering, Product, and Customer Success teams to enhance service delivery and advocate for technical improvements. Who We’re Looking For You thrive on problem-solving and unblocking others. You enjoy being the go-to person for resolving technical challenges and finding the most efficient path forward. You are patient and customer-focused. Whether working with internal teams or external customers, you take the time to understand their needs, ask the right questions, and guide them toward the best solution. You bring clarity to complexity. You excel at turning ambiguous, scattered, or confusing requests into structured, actionable plans that drive real progress. You are an exceptional communicator. You proactively keep stakeholders informed, provide clear updates, and ensure issues are resolved within the promised timeline—never letting things fall through the cracks. Ideally you’d have Strong proficiency in JavaScript/TypeScript (required); familiarity with Python is a plus. Experience working with REST APIs, debugging integration issues, and improving automation workflows. Familiarity with MongoDB or similar databases for managing structured data. Strong analytical and problem-solving skills, with a structured approach to debugging and optimization. Ability to manage multiple customer requests efficiently while maintaining high service standards. Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders. Why Join Scale? Work with top AI and ML experts to help shape the future of data-driven technology. Engage with cutting-edge customers, from startups to Fortune 500 companies. Growth opportunities to transition into leadership or specialized technical roles. Competitive salary, equity options, and comprehensive benefits package. Fully remote-friendly environment with opportunities for in-person collaboration.  PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us The future of customer engagement is AI-driven, with conversational automation representing a $300B market opportunity. While traditional NLP/NLU-powered solutions have fallen short, Observe.AI is leading the revolution with state-of-the-art LLM-powered Conversational AI technology. Backed by 7 years of experience and insights from 300+ customers, we’re perfectly positioned to disrupt the space and unlock massive value for enterprises worldwide. We are seeking an Implementation Manager who will be responsible for project managing, facilitating stakeholder design workshops, building out customer use-cases discovered during onboarding, and delivering virtual/onsite software training to trainer and end-user audiences. The implementation manager will work with new customers to stand up their Observe.AI programs and existing customers to expand their capabilities with the Observe.AI product suite. This role will need to quickly learn and adapt the customer's business objectives into a successful onboarding process from sales handoff to CSM transition. The ideal candidate applies their SaaS experience to driving implementation projects to completion, engaging key stakeholders to build a strong program foundation, and communicating technical and functional concepts in a clear concise manner. As a key member of our core team, you’ll play a pivotal role in implementing and launching cutting-edge Conversational AI products. You’ll work at the forefront of AI innovation, helping to build solutions that will transform how global enterprises adopt and scale AI—delivering real-time customer assistance, smarter automation, and seamless interactions. This is your chance to join an industry leader as we drive the future of Conversational AI and empower enterprises to reach new levels of efficiency and customer satisfaction. What you’ll be doing Lead a customer-facing program team through implementation involving discovery, technical setup, functional setup, and enablement training Guide and enable customers on their contact center AI journey with our software Manage client expectations, project timelines, documentation artifacts, and team resources Partner with CSMs to create value-based adoption goals that set the Customer up for a successful launch Deliver tailored customer enablement sessions across a variety of formats (e.g. live, recorded, virtual, in-person, train-the-trainer) Communicate project status, issues, and risks while escalating effectively as appropriate Manage multiple customer projects simultaneously Interact cross-functionally with Sales, Product-Engineering, and Customer Success to deliver project scope What you bring to the role 2+ years of work experience implementing B2B SaaS software Experience in a customer-facing role with clear deliverables and stakeholder management Comfort in crafting and delivering user-centered communications  Strong analytical and problem-solving skills in a software context Excellent attention to detail and time management skills Training experience is highly preferred What you can expect Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $100,000 - $110,000 per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. #LI-REMOTE

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Hey! We're team Granola 👋  If you haven't already, you should check out what we're building, and why you should work here.We’re looking for an engineer who loves building products in a fast-paced, iterative environment.In this role, you will come up with new ways to unlock value for our users using LLMs and enhance the quality and performance of our application. You’ll be talking directly with users to understand their problems and develop the features they need most. You will be part of the founding team and help unlock Granola for the next 100x users.In this role, you will:Own the development of new user-facing features end-to-end. Things like: agentic workflows, real time collaboration and lots of 0 to 1 prototypingOptimise the application for speed, scale, and reliabilityInteract with users to understand their problems and design solutionsCollaborate with a cross-functional team of engineers, product managers, designers, and other members of the team to create a cutting-edge productYour background looks something like:Engineering experience at tech and product-driven companiesProficiency with TypeScript, Node.js, and React.js (Framer Motion, Tailwind and Radix is a strong plus)Proficiency with relational databases like PostgresExperience with cloud infrastructure (we use AWS and Terraform)As a person, you…Are first and foremost a builderAre excited to work in-person from our office in London (most of the time)Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)Value working with people who are kind, ambitious, and pragmaticHave an interest in AI/ML (direct experience not required)Thrive in a fast-paced environment with evolving requirements and prioritiesAbout the opportunityWe are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.